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系統識別號 U0026-2408201116312800
論文名稱(中文) 利用近景攝影測量之多比例尺影像獲取高精度河床表面礫石DSM
論文名稱(英文) DSM Measurement for Exposed Gravel Surface Using Close-Range Photogrammetry with Multi-Scale Images
校院名稱 成功大學
系所名稱(中) 測量及空間資訊學系碩博士班
系所名稱(英) Department of Geomatics
學年度 99
學期 2
出版年 100
研究生(中文) 鍾瑞騰
研究生(英文) Jui-Teng Chung
電子信箱 p66984053@mail.ncku.edu.tw
學號 p66984053
學位類別 碩士
語文別 英文
論文頁數 40頁
口試委員 指導教授-王驥魁
口試委員-吳富春
口試委員-林昭宏
中文關鍵字 數值表面模型  近景攝影測量  礫石表面  正射影像  礫徑大小 
英文關鍵字 Digital Surface Model (DSM)  close-range photogrammetry  gravel surface  ortho-image  grain size distribution 
學科別分類
中文摘要 河川水流的作功是造成河床表面多樣化的樣貌的主因,因此透過量測河床礫石表面的幾何資訊可以協助我們了解河川水流的特性。本研究提出一個新的量測方法,藉由近景攝影測量之多比例尺影像萃取高精度的河床礫石表面之數值表面模型(DSM)。本研究使用消費等級相機拍攝礫石表面的影像,透過自率光束法平差進行不同比例尺之相機率定以得到內外方位,並藉由反射標達到自動化流程。小比例尺的影像可涵蓋大範圍的面積(4.5 m × 4.5 m)以作為控制之用;大比例尺的影像可涵蓋1.8 m × 1 m 的範圍以提供礫石表面的細節,根據大小不同比例尺的影像產生相對應比例尺之DSM,並利用迭代最近點(iterative closest point)的方法對大小比例尺進行套疊。提供細節資訊的大比例尺DSM僅用來涵蓋整個目標範圍(4.5 m × 4.5 m)的對角線區域(6 m × 1 m),提供兩條高精度大範圍的帶狀DSM。套疊後的DSM成果透過精準之全站儀進行精度的驗證,展現了可靠且高精度的成果。將該DSM成果與相對應的影像可進行正射影像的產製,並用來計算兩條對角線方向上的礫石礫徑大小。
英文摘要 The geometry information of the exposed gravel surface geometry is important for understanding the flow characteristic. This research has developed a reliable and precision methodology to generate the Digital Surface Model (DSM) of gravel surfaces using multi-scale images from close-range photogrammetry. The camera would be calibrated on-site corresponding to different scale images with a self-calibration bundle adjustment using coded retro-reflective targets and the DSM of the gravel surface was reconstructed for two scales from different scale images relatively. The small scale DSM was used as the control surface covering entire area (4.5 m × 4.5 m), and the large scale DSMs contain more detailed elevation variation covering the diagonals (6 m × 1 m) of entire area and are registered to the small scale DSM by iterative closest point (ICP). Three fields with a size of 4.5 m × 4.5 m have been tested and discussed, and the results are provided and validated with high accuracy total station. The ortho-images can be generated and apply for determination of grain size distribution.
論文目次 中文摘要 I
Abstract II
Acknowledgements III
Table of Contents IV
List of Figures VI
List of Tables VIII
1. Introduction 1
2. Material and Method 4
2.1 Study area 4
2.2 Data acquisition procedure 5
2.3 Instruments 7
2.3.1 Camera and lens 7
2.3.2 Software 9
2.4 Validation check points 12
2.5 Small scale images and DSM 13
2.6 Large scale images and DSM 15
2.7 Combination of DSMs from two scales 23
3. Results and Discussions 24
3.1 DSM Results 24
3.2 Ortho-image and grain size distribution 24
3.3 Consideration on the number of control surfaces 30
3.4 DSM registration without the small scale DSM 32
4. Conclusions 37
5. References 39
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De Jong, C. (1992). "Measuring changes in micro and macro roughness on mobile gravel beds." in Proc. Erosion Sediment Transp. Monit. Programmes River Basins, Oslo, Norway: 31-40.
Gessesse, G. D., H. Fuchs, et al. (2010). "Assessment of Erosion, Deposition and Rill Development On Irregular Soil Surfaces Using Close Range Digital Photogrammetry." Photogrammetric Record 25(131): 299-318.
Nikora, V. I., D. G. Goring, et al. (1998). "On gravel-bed roughness characterization." Water Resources Research 34(3): 517-527.
Remondino, F., S. F. El-Hakim, et al. (2008). "Turning images into 3-D models." Ieee Signal Processing Magazine 25(4): 55-64.
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Robert, A. (1988). "Statistical Properties of Sediment Bed Profiles in Alluvial Channels." Mathematical Geology 20(3): 205-225.
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